Regression parameter estimation and diagnosis of multicollinearity. This table presents the unstandardized and standardized regression coefficients, significance tests, and multicollinearity diagnostics. Several variables show variance inflation factors (VIFs) greater than 5, eigenvalues close to zero, and condition indices above 10, confirming the presence of multicollinearity.
收藏NIAID Data Ecosystem2026-05-10 收录
下载链接：
https://figshare.com/articles/dataset/Regression_parameter_estimation_and_diagnosis_of_multicollinearity_This_table_presents_the_unstandardized_and_standardized_regression_coefficients_significance_tests_and_multicollinearity_diagnostics_Several_variables_show_variance_inflatio/30236473
下载链接
链接失效反馈官方服务：
资源简介：
Regression parameter estimation and diagnosis of multicollinearity. This table presents the unstandardized and standardized regression coefficients, significance tests, and multicollinearity diagnostics. Several variables show variance inflation factors (VIFs) greater than 5, eigenvalues close to zero, and condition indices above 10, confirming the presence of multicollinearity.
创建时间：
2025-09-29
